vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Usage]: Can I use vllm.LLM(quantization="bitsandbytes"...) when bitsandbytes is supported in the v0.5.0 version
- [Bug]: CUDA out of memory when setting prompt_logprobs with larger batch_size
- [Feature]: Support [RecurrentGemmaForCausalLM]
- [Feature]: PagedAttention for CPU-memory constraned environments?
- [Bug]: v0.4.3 AsyncEngineDeadError
- [Bug]: vllm v0.5.0 internal assert failed
- [Usage] Clarify and Update Argument for Specifying Model Revisions
- [Feature]: PagedAttention multiple of 8
- [Feature]: ci test with vGPU
- [RFC]: Improve guided decoding (logit_processor) APIs and performance.
- Docs
- Python not yet supported